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Many technical indicators are available to traders, but one question remains: "which are useful and which aren't"? In this post we try to answer this question.

In the last post in this series on chart patterns, we described the characteristics, rules, and causes of broadening wedges patterns (if you haven't seen it, see the related ideas below).

Here we have created an envelope indicator based on kernel smoothing with integrated alerts from crosses between the price and envelope extremities. Unlike the Nadaraya-Watson Estimator, this indicator follows a contrarian methodology.

Moving averages are inherent in the world of technical analysis and are present in the core calculations of many technical indicators. In this post, we take a deep dive into 3 types of moving averages used every day by traders: the Simple Moving Average ( SMA ), Exponential Moving Average ( EMA ) and the Weighted Moving Average ( WMA ).

This indicator displays a fan using a linear regression fit to the price as a base. All lines are equidistant and are drawn from the first point of the linear regression to the most recent point of the linear regression plus the root-mean-square deviation (RMSD) multiplied by a certain factor.

Chart patterns are governed by precise identification guidelines and it is important to effectively recognize the presence of a specific pattern. Since this recognition process can be subjective, we designed a robust and efficient algorithm for the detection of traditional chart patterns, saving users valuable time.

This indicator uses a simple time series forecasting method derived from the similarity between recent prices and similar/dissimilar historical prices. We named this method "ECHO".

In this post, we perform an advanced analysis of broadening wedges patterns. We provide a description of each pattern and its implications. We also review the literature in order to find their deterministic cause.

The Peak Activity Levels indicator displays support and resistance levels from prices accompanied by significant volume . The indicator includes a histogram returning the frequency of closing prices falling between two parallel levels, each bin shows the number of bullish candles within the levels.

Triangle patterns form a part of the most studied patterns by technical analysts and have been well documented over the years, with some even applied to climate time-series data (1). In this post, we perform an analysis of ascending, descending, and symmetrical triangles patterns.

This indicator returns the average of stochastic oscillators with periods ranging from 4 to length. This allows for a slightly more reactive oscillator as well as having information regarding the position of the price relative to rolling maximums/minimums of different periods. We introduce settings that allow for pre and post-smoothing, with selectable smoothing methods and periods for both steps.

Good money management is one of the fundamental pillars of successful trading. With this indicator, we propose a simple way to manage trading positions.

The following tool smooths the price data using the Nadaraya-Watson estimator, a simple Kernel regression method. We make use of the Gaussian kernel as a weighting function.

This indicator returns pivot point high/lows alongside the percentage change between one pivot and the previous one (Δ%) and the distance between the same type of pivots in bars (Δt). The indicator also returns an estimate of the future time position of the pivot points.

The Zig Zag indicator is a useful tool when it comes to visualizing past underlying trends in the price and can make the process of using drawing tools easier.

Today's new indicator a spider chart overlaid on the user’s current chart allowing the visualization of information given by various normalized oscillators.

The first thing most traders will have to do is build a portfolio, this process is more complex than just choosing what assets to trade, and in order to build a good portfolio you will need to find your trader profile.

The following oscillator uses an adaptive moving average as input for another RSI oscillator and aims to provide a way to minimize the impact of retracements over the oscillator output without introducing significant lag.

Timeframes and technical indicator settings are ubiquitous concepts to technical analysts, two things that they will have to interact with at some point in point.

The following moving average adapts to the average number of highest high/lowest low made over a specific period, thus adapting to trend strength. Interesting results can be obtained when using the moving average in a MA crossover system or as a trailing support/resistance.

The following indicator is a normalized oscillator making use of the arc tangent sigmoid function (ArcTan), this allows to “squarify” the output result, thus visually filtering out certain variations originally present in the oscillator.

Today we present a new technical indicator that displays a simple & elegant panel showing the direction of simple moving averages with periods in a user-selected range.